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DTSTART;TZID=America/New_York:20240920T160000
DTEND;TZID=America/New_York:20240920T170000
DTSTAMP:20260506T034634
CREATED:20240908T231715Z
LAST-MODIFIED:20240912T184934Z
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SUMMARY:(Colloquium) Ophelia Adams\,	University of Rochester
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-ophelia-adamsuniversity-of-rochester/
LOCATION:Rockefeller Hall 310
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240920T150000
DTEND;TZID=America/New_York:20240920T160000
DTSTAMP:20260506T034634
CREATED:20240908T230317Z
LAST-MODIFIED:20241101T004118Z
UID:612-1726844400-1726848000@pages.vassar.edu
SUMMARY:(LAVA) Lisa (Esposito) Cannizzaro\, VC '16
DESCRIPTION:LAVA Talk on Actuarial Science\, with Lisa (Esposito) Cannizzaro (VC ’16)\, Allied World Reinsurance.  Friday\, September 20\, 2024 at 3PM in Rocky 312. \n \nAbout Lisa:\nLisa is an Assistant Vice President & Reinsurance Pricing Actuary at Allied World Reinsurance. She graduated from Vassar in 2016 with a double major in Mathematics & Economics. After graduating\, she spent a year in Philadelphia working as a pricing actuary for Chubb Insurance. She has been with Allied World Reinsurance in New York for the last seven years\, where her primary responsibility is to price reinsurance treaties. She became an Associate of the Casualty Actuarial Society in June 2023 and is working towards obtaining her Fellowship.
URL:https://pages.vassar.edu/mathstats/event/lava-lisa-esposito-cannizzaro-vc-16/
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240426T150000
DTEND;TZID=America/New_York:20240426T160000
DTSTAMP:20260506T034634
CREATED:20240316T135933Z
LAST-MODIFIED:20240908T234154Z
UID:524-1714143600-1714147200@pages.vassar.edu
SUMMARY:(Colloquium) Leo Goldmakher 4/26
DESCRIPTION:Some Fascinating Characters in Number Theory \nAre there infinitely many primes of the form n^2+1\, where n is an integer? No one knows. In fact\, there’s no example of any (single variable) polynomial of degree 2 or greater that’s been proved to output infinitely many primes. By contrast\, the linear polynomial n+1 outputs infinitely many primes\, a fact that’s been known for over 2000 years. Rather less trivially\, Dirichlet proved in 1837 that any linear polynomial of the form an+b with a\, b coprime must output infinitely many primes. To make his proof work\, Dirichlet introduced certain nice functions called characters\, which evolved (over the course of the next hundred years) into fundamental objects of study in algebra and number theory. I will discuss some of the history and mathematics of Dirichlet’s characters\, including a very recent and simple characterization of them that seems to have been previously overlooked.
URL:https://pages.vassar.edu/mathstats/event/colloquium-leo-goldmakher-4-26/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240423T150000
DTEND;TZID=America/New_York:20240423T160000
DTSTAMP:20260506T034634
CREATED:20240321T162134Z
LAST-MODIFIED:20240411T022047Z
UID:537-1713884400-1713888000@pages.vassar.edu
SUMMARY:(Henry Seely White Lecture II)\, Bhramar Mukherjee\, University of Michigan
DESCRIPTION:Join us on Tuesday April 23 at 3PM in Rocky 300 for the second of two Henry Seely White Lectures delivered by Professor Bhramar Mukherjee\, University of Michigan. \nNote:  This is the second of two lectures in the Henry Seely White Lecture Series. The first lecture is on Monday April 22 at 5PM. \nTitle: Analysis of “Big” Real-World Health Care Data: Promises and Perils \nAbstract: Using administrative patient-care data such as Electronic Health Records and medical/Pharmaceutical claims for population-based scientific research have become increasingly common. With vast sample sizes leading to very small standard errors\, researchers need to pay more attention to potential biases in the estimates of association parameters of interest\, specifically to biases that do not diminish with increasing sample size. Of these multiple sources of biases\, in this talk\, we primarily focus on understanding selection bias. We present an analytical framework for understanding selection bias and arriving at bias-reduced inference using external data from a target population. We illustrate our methods via case-studies in cancer and COVID-19. We try to highlight that sampling and study design are at the heart of analysis of big data. This is joint work with many students and colleagues at the University of Michigan School of Public Health.
URL:https://pages.vassar.edu/mathstats/event/henry-seely-white-lecture2/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,HSW
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240422T170000
DTEND;TZID=America/New_York:20240422T180000
DTSTAMP:20260506T034634
CREATED:20230926T031022Z
LAST-MODIFIED:20240411T022158Z
UID:148-1713805200-1713808800@pages.vassar.edu
SUMMARY:(Henry Seely White Lecture I)\, Bhramar Mukherjee\, University of Michigan
DESCRIPTION:Join us on Monday April 22 at 5PM in Rocky 300 for the first of two Henry Seely White Lectures delivered by Professor Bhramar Mukherjee\, University of Michigan. \nNote: This is the first of two lectures in the Henry Seely White Lecture Series. The second lecture is on Tuesday April 23 at 3PM. \nTitle: The Data Struggle of the Unseen \nAbstract: Despite several proposed roadmaps to increase diversity in scientific research\, most of the world’s research data are collected on people of European ancestry. We rely on summary statistics from historically privileged populations and then devise clever statistical methods to transfer/transport them for cross-ancestry use. In this talk\, I would first argue the obvious: for building fair algorithms we need fair training datasets. However\, till we have reached the dream of equitable big data at a global scale\, statisticians have an important role to play. In fact we have the perfect tools to study the “unobserved” through modeling of missing data\, selection bias and alike. I will share examples from my personal journey as a statistician where doing good and timely statistical work with imperfect data quantified important disparity in health outcomes and led to policy impact. I will conclude the talk with a call to arms for statisticians to lead efforts for creating\, curating\, collecting data and pioneering new scientific studies\, not just remain on the design and analytic fringes. As public health statisticians\, our job is not just to predict\, but to prevent. The talk is based on years of work with my students and colleagues at the Department of Biostatistics\, University of Michigan and inspired by the transformative experience we shared as a statistical team working on the COVID-19 pandemic.
URL:https://pages.vassar.edu/mathstats/event/henry-seely-white-lecture1/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,HSW
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240412T150000
DTEND;TZID=America/New_York:20240412T160000
DTSTAMP:20260506T034634
CREATED:20240205T185551Z
LAST-MODIFIED:20240412T025330Z
UID:472-1712934000-1712937600@pages.vassar.edu
SUMMARY:(LAVA) Kai Matheson\, VC '19
DESCRIPTION:LAVA Talk on Data Science for Social Good: From Academia to Federal Consulting\, with Kai Matheson (VC ’19)\, Accenture.\nFriday\, April 12\, 2024 at 3PM in Rocky 310. \n \nAbout Kai:\nKai works at Accenture as a data analytics consultant for the USDA. They build interactive data visualizations for national food insecurity programs and spearhead USDA’s Data Science Training Program. Kai is passionate about utilizing quantitative methods for social good. At Vassar\, they made an effort to weave together their own “quantitative social science” curriculum: majoring in math\, minoring in urban studies\, and housing their thesis in the economics department along with a computer science advisor. Among their favorite experiences at Vassar was working as a Q-Tutor and SI. After graduation\, Kai worked as a predoctoral research fellow at Harvard\, contributing to academic papers on economic mobility and inequality. However\, as life happens\, they made a major pivot by going into consulting next. In the process\, they learned how to prioritize mental health and balance. They aspire to return to academia later in their career.
URL:https://pages.vassar.edu/mathstats/event/lava-kai-matheson-vc-19/
LOCATION:Rockefeller Hall 310
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240409T173000
DTEND;TZID=America/New_York:20240409T183000
DTSTAMP:20260506T034634
CREATED:20240404T172243Z
LAST-MODIFIED:20240408T005157Z
UID:562-1712683800-1712687400@pages.vassar.edu
SUMMARY:(DSS Event) Lens Media Lab\, Yale University
DESCRIPTION:Data Science & Society (DSS) Event with the Yale University Lens Media Lab on Tuesday April 9 with Thomas Schmickl\, University of Graz\, Austria\, on Monday April 8 (multiple times; see below). \nPlease join us at 5:30PM\, Tuesday\, April 9 in Taylor Hall Room 102. Paul Messier\, Kappy Mintie\, and Damon Crockett from the Lens Media Lab at Yale University will participate in a panel titled \n“Characterizing Twentieth-Century Photographic Papers: A Multidisciplinary Approach.” \nThe panel will describe how the Paperbase project was conceived\, the interdisciplinary work required to develop it\, and how it can be used by scholars interested in the history of photography. Each of the panelists\, who come from different disciplinary backgrounds\, will also describe how they came to work at the Lens Media Lab and how their specialized knowledge contributed to the production of Paperbase. \nThe panel will be followed by a hands-on demonstration of some of the Lens Media Lab’s data collection tools at 6:30 PM in the Taylor Hall Jade Room. \nVassar students have the chance to meet with the panelists to discuss data science\, art\, and photography\, among other topics\, between 12PM and 2PM on April 9 in College Center 240. Food will be provided. Students are directed to sign up at this link. \nThis event is sponsored by Vassar’s Data Science and Society initiative\, the Department of Art\, and the Frances Lehman Loeb Art Center. \n \n 
URL:https://pages.vassar.edu/mathstats/event/dss-event-lens-media-lab-yale-university/
LOCATION:Taylor Hall
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240409T150000
DTEND;TZID=America/New_York:20240409T160000
DTSTAMP:20260506T034634
CREATED:20240316T135634Z
LAST-MODIFIED:20240908T234154Z
UID:520-1712674800-1712678400@pages.vassar.edu
SUMMARY:(Colloquium) Anna Pun 4/9
DESCRIPTION:The Magic of Tableaux: Exploring the Wonders of Algebraic Combinatorics \nAnna Pun\nCUNY Baruch College \nTuesday\, April 9th\n3pm Rocky 312 \nTableaux are one of the most fundamental and versatile objects in algebraic combinatorics\, as they can encode and connect various concepts and structures in the field. In this talk\, we will start with the definition and properties of Young tableaux\, which are graphical representations of partitions of integers. We will then see how tableaux can be used in algebra: their connection to symmetric functions and partition algebras; how they can be related to various combinatorial operations\, such as the RSK-algorithm and the Jeu-de-taquin procedure; and how they can give rise to various combinatorial structures\, such as lattice paths\, vacillating tableaux\, and parking functions. We will also explore some variations of tableaux\, such as composition tableaux and set-valued tableaux\, and discuss some interesting problems and conjectures that arise from them. We will conclude with some open questions and directions for future research on tableaux and their applications in algebraic combinatorics.
URL:https://pages.vassar.edu/mathstats/event/colloquium-anna-pun-4-9/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240408T170000
DTEND;TZID=America/New_York:20240408T180000
DTSTAMP:20260506T034634
CREATED:20240404T171805Z
LAST-MODIFIED:20240408T004629Z
UID:560-1712595600-1712599200@pages.vassar.edu
SUMMARY:(DSS Colloquium) Thomas Schmickl\, University of Graz\, Austria
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Thomas Schmickl\, University of Graz\, Austria\, on Monday April 8 at 5PM in Rocky 300.  \nTitle: Can Robots Save Nature? \nAbstract: Our planet is on the brink of the 6th mass extinction\, as our ecosystems are rapidly losing both\ndiversity and biomass. As intra- and inter-specific interaction networks weaken\, ecosystems\nbecome increasingly unstable\, setting off on a downward trajectory along a deadly spiral. I\nexplore how robotic systems can play a crucial role in supporting ecosystems and communities.\nI will show three levels of agency and how a “tech for good” approach might be helpful to\nfight ecosystem decay: monitoring\, intervention and restoration. By mitigating ecosystem\ndecay\, robots may buy us precious time to address the root causes of environmental crises. I\nwill show innovative systems that we’ve developed over recent years — the initial strides toward going beyond mere animal-interaction systems by establishing eco-effective robotics. \nPoster Link: https://pages.vassar.edu/dss/files/2024/03/Schmickl.presentation.8April2024.pdf
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-thomas-schmickl-university-of-graz-austria/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240405T170000
DTEND;TZID=America/New_York:20240407T170000
DTSTAMP:20260506T034634
CREATED:20231108T150613Z
LAST-MODIFIED:20231108T150613Z
UID:306-1712336400-1712509200@pages.vassar.edu
SUMMARY:DataFest 2024
DESCRIPTION:Save the date for DataFest 2024 @ Vassar: April 5-7\, 2024.  This is our annual data competition open to all Vassar students\, as well as neighboring schools by invitation.  For more details about DataFest\, including past DataFests at Vassar\, visit: https://pages.vassar.edu/datafest/
URL:https://pages.vassar.edu/mathstats/event/datafest-2024/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240326T150000
DTEND;TZID=America/New_York:20240326T160000
DTSTAMP:20260506T034634
CREATED:20240316T135434Z
LAST-MODIFIED:20240318T162048Z
UID:518-1711465200-1711468800@pages.vassar.edu
SUMMARY:(Colloquium) Phanuel de Andrade Mariano 3/26
DESCRIPTION:  \n \nThe Hot Spots Problem \n\nPhanuel de Andrade Mariano\nUnion College\n\nTuesday\, March 26th\n3pm Rocky 312\n\nConsider a perfectly insulated 1-dimensional rod\, or a 2-dimensional plate\, or better yet\, a 3-dimensional room. Perfectly insulated means that heat cannot escape this room. The Hot Spots Problem asks about what happens to the location of the “hot spots” and “cold spots” of this insulated body over a long period of time. To understand this problem we will introduce the equation that describes the evolution of heat over time. Moreover\, we will discuss what is known (and not known) about this problem. We end the talk by discussing the connection between the Hot Spots Problem and Probability theory. In particular\, this connection will be through a theory of random particles called Brownian motion.
URL:https://pages.vassar.edu/mathstats/event/colloquium-phanuel-de-andrade-mariano-3-26/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240322T180000
DTEND;TZID=America/New_York:20240322T200000
DTSTAMP:20260506T034634
CREATED:20240205T192352Z
LAST-MODIFIED:20241114T004442Z
UID:490-1711130400-1711137600@pages.vassar.edu
SUMMARY:Math Jam 2024
DESCRIPTION:Math Jam on Friday\, March 22\, 2024 from 6-8PM in the Aula/Ely Hall.\nVassar Students – Sign-up with Dr. Lisa Lowrance to volunteer at this community outreach event!
URL:https://pages.vassar.edu/mathstats/event/math-jam/
LOCATION:The Aula
CATEGORIES:Community,Student
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240322T150000
DTEND;TZID=America/New_York:20240322T160000
DTSTAMP:20260506T034634
CREATED:20240206T144944Z
LAST-MODIFIED:20240412T025303Z
UID:495-1711119600-1711123200@pages.vassar.edu
SUMMARY:(LAVA) Elijah Appelson\, VC '23
DESCRIPTION:LAVA Talk on Data Activism with Elijah Appelson (VC ’23)\, ACLU.\nFriday\, March 22\, 2024 at 3PM in Rocky 310. \n \nAbout Elijah:\nElijah is a data analyst at the ACLU of Louisiana. His work focuses on gathering\, analyzing\, and visualizing data related to civil liberties (primarily criminal legal reform) throughout the state. He is deeply committed to using data to honor and amplify people’s lived experiences to make data accessible to all stakeholders. Elijah graduated from Vassar College in 2023 with a Degree in Mathematics (core/pure path). While at Vassar\, he undertook multiple positions at justice organizations\, including the Center for Community Alternatives\, Vera Institute of Justice\, and Court Watch of Dutchess County.
URL:https://pages.vassar.edu/mathstats/event/lava-elijah-appelson-vc-23/
LOCATION:Rockefeller Hall 310
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240221T151500
DTEND;TZID=America/New_York:20240221T170000
DTSTAMP:20260506T034634
CREATED:20240205T190203Z
LAST-MODIFIED:20240212T171544Z
UID:475-1708528500-1708534800@pages.vassar.edu
SUMMARY:Integration Bee
DESCRIPTION:Join us for an integration bee on Friday February 21 at 3:15PM in Rocky 300.  Both students and faculty are welcome to sign up to compete or simply come to watch. It’ll be a fun\, low-stakes event aimed at building rapport within the department. Your participation would be greatly appreciated—please sign up here!
URL:https://pages.vassar.edu/mathstats/event/integration-bee/
LOCATION:Rockefeller Hall 300
CATEGORIES:Student
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240209T150000
DTEND;TZID=America/New_York:20240209T160000
DTSTAMP:20260506T034634
CREATED:20240205T191054Z
LAST-MODIFIED:20240206T150038Z
UID:484-1707490800-1707494400@pages.vassar.edu
SUMMARY:(Asprey Lecture II)\, Laura DeMarco\, Harvard University
DESCRIPTION:Join us on Friday February 9 at 3PM in Rocky 300 for the second of two Asprey Lecturers delivered by Professor Laura DeMarco. Harvard University. \nTitle: The Mandelbrot set today: what we know and what we don’t know \nAbstract: One of the most famous–and still not fully understood–objects in mathematics is the Mandelbrot set.  By definition\, it is the set of complex numbers c for which the recursive sequence {c\, c^2+c\, (c^2+c)^2+c\, …}\, defined by x_1 = c and x_{n+1} = (x_n)^2+c\, is bounded.  But this set turns out to be rich and complicated and related to many different areas of mathematics.  I will present an overview of what’s known and what’s not known about the Mandelbrot set\, and I’ll describe recent work that (perhaps surprisingly) employs tools from arithmetic geometry to study these systems.  The new work is a collaboration with Myrto Mavraki.
URL:https://pages.vassar.edu/mathstats/event/asprey-lecture-ii-laura-demarco-harvard-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T170000
DTEND;TZID=America/New_York:20240208T180000
DTSTAMP:20260506T034634
CREATED:20231130T153902Z
LAST-MODIFIED:20240206T145959Z
UID:318-1707411600-1707415200@pages.vassar.edu
SUMMARY:(Asprey Lecture I) Laura DeMarco\, Harvard University
DESCRIPTION:Join us on Thursday February 8 at 5PM in Rocky 300 for the first of two Asprey Lecturers delivered by Professor Laura DeMarco. Harvard University. \nTitle: From the solar system to the Mandelbrot set \nAbstract: The field of dynamical systems has a long and fascinating history:  it originated with the study of planetary motion and has become a central part of mathematics today\, with many connections to algebra\, geometry\, and analysis.  In this talk\, I will present some of its historical development\, with emphasis on the subtle question of linearization and how that leads to deep and difficult problems that remain unsolved today.
URL:https://pages.vassar.edu/mathstats/event/asprey-lectures/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T170000
DTEND;TZID=America/New_York:20240207T180000
DTSTAMP:20260506T034634
CREATED:20240205T191543Z
LAST-MODIFIED:20240206T174810Z
UID:487-1707325200-1707328800@pages.vassar.edu
SUMMARY:(DSS Colloquium) Brenden Lake\, New York University
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Brenden Lake\, Assistant Professor of Psychology and Data Science at New York University\, on Wednesday February 7 at 5PM in Rocky 300.   \nTitle: Addressing two classic debates in cognitive science with deep learning \nAbstract: How can advances in machine learning advance our understanding of human development? In this talk\, I’ll use deep neural networks to address two classic debates: (1) How much language is learnable from sensory input? Using head-mounted video recordings from a single child\, we show how deep neural networks can acquire many word-referent mappings\, generalize to novel visual referents\, and achieve multi-modal alignment. (2) Can neural networks capture human-like systematic generalization? We address a 35-year-old argument that neural networks are not viable cognitive models because they lack systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Neural networks can achieve human-like systematic generalization when trained through meta-learning for compositionality\, a new method for optimizing compositional skills through practice. These findings emphasize the power of neural networks and their increasing capability for addressing long standing issues in cognitive science.
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-brenden-lake-new-york-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231214T130000
DTEND;TZID=America/New_York:20231214T140000
DTSTAMP:20260506T034634
CREATED:20231130T154540Z
LAST-MODIFIED:20231209T012944Z
UID:322-1702558800-1702562400@pages.vassar.edu
SUMMARY:(Colloquium) Robin Belton\, Smith College
DESCRIPTION:Colloquium Talk\nRobin Belton\, Smith College\nThursday\, December 14\, 2023 at 1PM\nRocky  312 \nTitle: Adaptive Algorithms in Geometric and Topological Visualization \nAbstract: Geometry and Topology have been increasingly used to visualize and summarize the “shape” of data. Mapper is a popular topological data visualization tool that takes as input a set of point cloud data and produces as output a graph of vertices and edges reflecting the structure of the underlying data. To use Mapper\, the user must specify many parameters to get the output graph. Optimizing these parameters is an essential part of obtaining a nice Mapper graph but are often challenging to find. We focus on the open cover parameter and propose a new algorithm for learning an open cover that is based on clustering algorithms\, statistical tests\, and an iterative splitting procedure. At the end\, we discuss how to extend these ideas to different settings.
URL:https://pages.vassar.edu/mathstats/event/colloquium-robin-belton-smith-college/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231201T150000
DTEND;TZID=America/New_York:20231201T160000
DTSTAMP:20260506T034634
CREATED:20230926T031953Z
LAST-MODIFIED:20231108T171904Z
UID:166-1701442800-1701446400@pages.vassar.edu
SUMMARY:(LAVA) Carl Gutowski\, VC '85
DESCRIPTION:LAVA Talk on Software Development with Carl Gutowski (VC ’85)\, SS&C | Innovest Systems.\nFriday\, December 1\, 2023 at 3PM in Rocky 312. \n \nAbout Carl:\nCome hear about Carl’s path from Vassar to SS&C | Innovest Systems\, where he is currently a software architect. (Hint: It involves majoring in math at Vassar\, teaching high school math\, obtaining a master’s degree in Computer Science) Over the course of his career\, Carl has developed software for air traffic control\, publishing\, education\, e-commerce and finance. He’s also a concert flutist who has won the National Flute Association competition and performed at such venues as Carnegie Hall.
URL:https://pages.vassar.edu/mathstats/event/lava-talk-3/
LOCATION:Rockefeller Hall 312
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231116T150000
DTEND;TZID=America/New_York:20231116T160000
DTSTAMP:20260506T034634
CREATED:20230926T031502Z
LAST-MODIFIED:20231108T022934Z
UID:158-1700146800-1700150400@pages.vassar.edu
SUMMARY:(Colloquium) Colby Kelln\, Cornell University
DESCRIPTION:Title: The Mathematics of Tilings \nAbstract: Imagine we are hired to tile an infinitely large bathroom floor. What tile shapes could we use? We will use math to explore and refine this question to make sure that our client is happy with our plans before we start laying grout. \nThursday\, November 16th at 3pm in Rocky 203.
URL:https://pages.vassar.edu/mathstats/event/colloquium-talk-4/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231113T160000
DTEND;TZID=America/New_York:20231113T170000
DTSTAMP:20260506T034634
CREATED:20231106T025339Z
LAST-MODIFIED:20231130T154235Z
UID:295-1699891200-1699894800@pages.vassar.edu
SUMMARY:(Colloquium) Shaoyang Ning\, Williams College
DESCRIPTION:Colloquium Talk\nShaoyang Ning\, Williams College\nMonday November 13\, 2023 at 4PM\nRocky  312 \nTitle: Using Google search data for localized flu tracking \nAbstract: Big data from the Internet has great potential to track social and economic events at multiple geographical levels. Focusing on localized (regional\, state-level) tracking the seasonal influenza epidemics within U.S.\, I will introduce a statistical model that efficiently combines publicly available Google search data at different geographical resolutions with traditional influenza surveillance data from the Centers for Disease Control and Prevention. Our method outperforms time-series-based influenza tracking methods. Our model is robust and easy to implement\, with the flexibility to incorporate additional information from other sources and/or resolutions\, making it generally applicable to tracking other social\, economic or public health events (such as COVID-19) at the regional or local level.
URL:https://pages.vassar.edu/mathstats/event/colloquium-shaoyang-ning-williams-college/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T170000
DTEND;TZID=America/New_York:20231110T180000
DTSTAMP:20260506T034634
CREATED:20230928T014008Z
LAST-MODIFIED:20231109T012745Z
UID:239-1699635600-1699639200@pages.vassar.edu
SUMMARY:(DSS Colloquium) Rob Williams\, Bayer Crop Science
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk\nRob Williams\, Data Scientist Remote Sensing at Bayer Crop Science\nFriday November 10\, 2023 at 5PM\nNew England 206 \nTitle: Data Science for Plants \nFor the full DSS Colloquium Series Schedule\, visit: https://pages.vassar.edu/dss/colloquium-series-schedule/
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-rob-williams-bayer-crop-science/
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T160000
DTEND;TZID=America/New_York:20231110T170000
DTSTAMP:20260506T034634
CREATED:20231106T025239Z
LAST-MODIFIED:20231108T144126Z
UID:292-1699632000-1699635600@pages.vassar.edu
SUMMARY:(Colloquium) Hung Tong\, The University of Alabama
DESCRIPTION:Colloquium Talk\nHung Tong\, The University of Alabama\nFriday November 10\, 2023 at 4PM\nRocky  312 \nTitle: Robust and Flexible Model-Based Clustering for Incomplete Data \nAbstract: Model-based clustering is an important class of cluster analysis that aims to produce smaller groups of similar observations in a data set by means of finite mixture models. Since real data often contain outliers\, exhibit skewness\, and come in the form of partially observed records\, developing robust and flexible model-based clustering methods for incomplete data has been a particularly active research area in recent years. Herein\, we introduce the contaminated normal mixture for robust clustering as well as our newly developed framework for fitting it to data sets with values missing at random. Regarding flexible clustering\, we discuss our work in extending special and limiting cases of the generalized hyperbolic mixture to both complete and incomplete data sets. All these mixture models are implemented and available in the R package MixtureMissing\, offering a wide range of model-based clustering options to address various data challenges of researchers.
URL:https://pages.vassar.edu/mathstats/event/colloquium-hung-tong-the-university-of-alabama/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T160000
DTEND;TZID=America/New_York:20231109T170000
DTSTAMP:20260506T034634
CREATED:20231101T133122Z
LAST-MODIFIED:20231101T133122Z
UID:285-1699545600-1699549200@pages.vassar.edu
SUMMARY:Let's Talk About Math Grad School
DESCRIPTION:Curious about pursuing graduate studies in applied math\, pure math\, or statistics but not sure what that entails or requires? Join us on Thursday\, November 9th at 4pm in Rocky 200 for an information session on the what\, why\, and how of math grad school followed by a Q&A with the faculty. There will be free pizza.
URL:https://pages.vassar.edu/mathstats/event/lets-talk-about-math-grad-school/
LOCATION:Rockefeller Hall 200
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231106T160000
DTEND;TZID=America/New_York:20231106T170000
DTSTAMP:20260506T034634
CREATED:20231106T024908Z
LAST-MODIFIED:20231106T025139Z
UID:290-1699286400-1699290000@pages.vassar.edu
SUMMARY:(Colloquium) Katherine Brumberg\, University of Pennsylvania
DESCRIPTION:Colloquium Talk\nKatherine Brumberg\, University of Pennsylvania\, Wharton School\nMonday November 6\, 2023 at 4PM\nRocky  312 \nTitle: Optimal Stratification to Address Selection Bias in Observational Studies \nAbstract: Randomized controlled trials are the gold standard for determining a treatment effect. However\, they are oftentimes too costly\, infeasible\, or unethical to carry out. In such situations\, we turn to observational studies\, where the treatment assignment is not randomized. This results in selection bias\, leading to incomparable treatment and control groups. One of the most common techniques to address this is propensity score stratification\, where we form strata that contain both treated and control individuals who look similar initially so that we can calculate a treatment effect within each stratum. However\, propensity score stratification may leave residual imbalances in the covariate distributions between the treated and control groups. Our new technique of optimal refinement addresses this by splitting each propensity score stratum in two in such a way that optimizes the resulting covariate balance. \n\nIn this talk\, we will assume no background knowledge\, starting with a brief overview of the foundational ideas of randomized controlled trials\, observational studies\, stratification\, propensity scores\, and standardized mean differences.  We will then move to discussing our new technique of optimal refinement. We will start by carefully defining the objective as an integer program. Because solving integer programs is often computationally intractable\, we will use randomized rounding\, an approximation algorithm\, to obtain a provably good solution. We will look at the performance of this method both in simulations and via a real-world example studying the effect of right heart catheterization on 30-day mortality.
URL:https://pages.vassar.edu/mathstats/event/colloquium-katherine-brumberg-university-of-pennsylvania/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231103T150000
DTEND;TZID=America/New_York:20231103T160000
DTSTAMP:20260506T034634
CREATED:20230926T031855Z
LAST-MODIFIED:20231025T165207Z
UID:163-1699023600-1699027200@pages.vassar.edu
SUMMARY:(LAVA) Philani Mpofu\, VC ’12
DESCRIPTION:LAVA Talk on Biostatistics & Epidemiology (graduate school and industry)\nwith Philani Mpofu (VC ’12)\, Flatiron Health\nFriday\, November 3\, 2023 at 3PM\nRocky 310 \n \nAbout Philani:\nPhilani Mpofu received his BA in Mathematics and Economics from Vassar College and his PhD in Biostatistics from Indiana University in 2020. His PhD focused on analyzing competing risks survival data in the presence of outcome misclassification in populations living with HIV/AIDS. Currently\, he is a Senior Quantitative Scientist at Flatiron Health (NY)\, where he researches evidence generation using oncology data derived from electronic health records.
URL:https://pages.vassar.edu/mathstats/event/lava-talk-2/
LOCATION:Rockefeller Hall 310
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231102T150000
DTEND;TZID=America/New_York:20231102T160000
DTSTAMP:20260506T034634
CREATED:20230926T031404Z
LAST-MODIFIED:20231026T135616Z
UID:156-1698937200-1698940800@pages.vassar.edu
SUMMARY:(Colloquium) Karen Parshall\, University of Virginia
DESCRIPTION:Colloquium Talk\nProfessor Karen Parshall\, University of Virginia\nThursday November 2nd\, 2023 at 3PM\nRocky 300 \n \nTitle: Growing Research-Level Mathematics in 1930s America: An Historical Paradox \nAbstract: World War I had marked a break in business as usual within the American mathematical research community. In its aftermath\, there was a stirring sense of entering into “a new era in the development of our science.”  And then the stock market crashed. Would it be possible in such newly straitened times to sustain into the 1930s the momentum that American mathematicians had managed to build in the 1920s? This talk will explore the contours of an answer to that question.
URL:https://pages.vassar.edu/mathstats/event/colloquium-talk-3/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231027T150000
DTEND;TZID=America/New_York:20231027T160000
DTSTAMP:20260506T034634
CREATED:20230926T031724Z
LAST-MODIFIED:20231025T165142Z
UID:160-1698418800-1698422400@pages.vassar.edu
SUMMARY:(LAVA) Paige Ioppolo\, VC ’14
DESCRIPTION:LAVA Talk on Mathematics Education \nwith Paige Ioppolo (VC ’14)\, Trevor Day School\nFriday October 27\, 2023 at 3PM \nRocky 310 \n \nAbout Paige:\nPaige graduated from Vassar in 2014. While at Vassar she majored in math and pursued her teaching certification through the Dean’s Program. She was one of the first Q-Tutors at Vassar and helped make the Q-Center what it is today. In the fall of 2014 she completed her student teaching at Poughkeepsie Day School and then was hired there to teach spring semester. Paige just began her seventh year teaching high school math at Trevor Day School in Manhattan. Paige teaches Algebra and Geometry along with her favorite subject\, Calculus.
URL:https://pages.vassar.edu/mathstats/event/lava-talk/
LOCATION:Rockefeller Hall 310
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231026T150000
DTEND;TZID=America/New_York:20231026T160000
DTSTAMP:20260506T034634
CREATED:20230926T031308Z
LAST-MODIFIED:20231025T185628Z
UID:154-1698332400-1698336000@pages.vassar.edu
SUMMARY:(Colloquium) Joe Kraisler\, Amherst College
DESCRIPTION:Colloquium Talk\nProfessor Joe Kraisler\, Amherst College\nThursday October 26\, 2023 at 3PM\nRocky 300 \n \nTitle: Topological Insulators and the SSH Model \nAbstract: Electronic band theory was one of the early 20th century achievements of quantum mechanics and placed solids into three categories: conductors\, semiconductors\, and insulators. However\, starting in the 1980s with the discovery of the Quantum Hall Effect\, a new phase of matter known as Topological Insulators (TIs) were theorized and eventually realized. These materials act as insulators in the interior\, or bulk\, while allowing electrons to freely move along the boundary\, or edge\, of the material. Additionally\, there is a relationship between the a) number of states which exist on the boundary and b) a property of the interior which is protected under small defects. This relationship is often referred to as the Bulk-Edge Correspondence. \nWe will study the simplest example of a 1-dimensional topological insulator\, the SSH (Su-Schrieffer-Heeger) model of polyacetylene\, and prove the bulk edge correspondence for this particular system. No previous physics knowledge is required.
URL:https://pages.vassar.edu/mathstats/event/colloquium-talk-2/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231011T150000
DTEND;TZID=America/New_York:20231011T160000
DTSTAMP:20260506T034634
CREATED:20230927T193743Z
LAST-MODIFIED:20231025T185533Z
UID:189-1697036400-1697040000@pages.vassar.edu
SUMMARY:(Colloquium) Pablo Soberón\, CUNY Baruch College
DESCRIPTION:Colloquium talk\nProfessor Pablo Soberón\, CUNY Baruch College\nWednesday October 11th at 3pm\nRocky 310 \n \nTitle: Art Galleries\, Voting Theory\, and Convex Sets \nAbstract: The study of intersection patterns of convex sets is a central topic in combinatorial geometry.  In this talk\, we will discuss the applications of this area to two different topics: art galleries and voting theory.  In art gallery problems we seek conditions on the blueprint of an art gallery that guarantee that few guards can keep every painting safe.  In voting theory\, given a group of people such that every person has an interval of tolerance in different topics\, we seek conditions that guarantee that all such intervals overlap.  We focus on connections of these two topics with quantitative Helly theorems\, which characterize finite families of convex sets whose intersection is not only non-empty\, but quantifiably large. \n 
URL:https://pages.vassar.edu/mathstats/event/colloquium-pablo-soberon-cuny-baruch-college/
END:VEVENT
END:VCALENDAR